Daily Reading List – August 14, 2026 (#846)

There’s a lot of agent content today. But it’s about fairly leading-edge topics, so give them a scan.

[blog] Introducing Neocloud And NeoPaaS: The Next Frontiers Of The AI-Native Cloud. Do we need new terms? Our analyst friends think so. And this doesn’t even include the “accidental clouds” like xAI and Meta.

[article] The Two Pillars of Post-training: Reinforcement Learning and Supervised Fine-Tuning. Here’s another great post-training article in this series. If you want to understand how models get better without training an entirely new model from scratch.

[blog] Speeding up generative UI with async A2UI. This is top-2 on my “need to play with” list of technologies. Andrew is ensuring it stays there.

[blog] Patterns and problems in emerging multiagent systems. What a fascinating read from Anthropic. Looks like agents don’t naturally coordinate any better than humans do.

[article] Can software factories actually work? You’ve heard the term, maybe you’re even building (or running?) one of these. But are we capable today of running lights-off software lifecycles where AI does literally everything from deciding what to work on, to shipping the final software?

[article] How does AI-assisted coding impact code comprehension? We comprehend less when the AI does more. Not shocking. There are ways to mitigate, as called out here.

[blog] Building Deterministic Agent Graphs with ADK 2.0. We don’t have to leave every decision up to the agent. Steering, along with persistence, is helping agents grow up.

[blog] Agentic Engineering Is Just Everything We Haven’t Been Doing. Are we rediscovering (or just getting reminded of) work that is a traditional part of a given workflow?

[blog] AGENTS.md vs. skills: How to steer a coding agent. Each operate at a different level, and steers in different ways. Eval this yourself.

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